Structural basis and kinetics of force-induced conformational changes of an αA domain-containing integrin. by Xue Xiang, Cho-Yin Lee, Tian Li, Wei Chen, Jizhong Lou, Cheng Zhu

“…Here we show, by steered molecular dynamics (SMD) simulations, that the αA domain was successively transitioned through three distinct conformations upon pulling the C-terminus of its α₇-helix. Based on these sequential transitions, we have constructed a mathematical model to describe the coupling between the αA domain conformational changes of LFA-1 and its dissociation from ICAM-1 under force. …”
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Credit Scoring Prediction Using Deep Learning Models in the Financial Sector by Xi Shi, Dingfen Tang, Yike Yu

“…At the core of our framework is a hybrid neural network architecture, which leverages Long Short-Term Memory (LSTM) units to handle sequential dependencies alongside dense layers that model complex interactions among features. …”
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Physics-informed deep learning with Kalman filter mixture for traffic state prediction by Niharika Deshpande, Hyoshin (John) Park

“…Functioning as the state-space model within the KF, the PI-GRNN exploits established correlations to construct dynamic adjacency matrices that utilize the inherent structure and relationships within the transportation network to capture sequential patterns and dependencies over time. …”
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Design of Conceptual Model of Psycho‐Social Burden in Infertile Couples Undergoing Assisted Reproductive Treatments: A Study Protocol for a Mixed Method Study by Shekofeh Maleki, Ashraf Kazemi, Hamid Nasiri‐Dehsorkhi, Nafisehsadat Nekuei

“…In the third phase, a cross‐sectional study will be conducted on 150 infertile couples who are candidates for ART in Isfahan, Iran. The construct validity of the prepared questionnaire will be evaluated using exploratory factor analysis with varimax rotation. …”
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Development and internal verification of nomogram for forecasting delirium in the elderly admitted to intensive care units: an analysis of MIMIC-IV database by Li Jiang, Dongdong Yu, Ge Yang, Xiaoqian Wu, Dong Zhang

“…Risk factors were screened using the least absolute shrinkage and selection operator regression. We successfully constructed a multivariate logistic regression model along with a nomogram. …”
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Temporal Synchrony in Bodily Interaction Enhances the Aha! Experience: Evidence for an Implicit Metacognitive Predictive Processing Mechanism by Jiajia Su, Haosheng Ye

“…A three-stage experimental paradigm—Prediction, Execution, and Feedback—was constructed to decompose the traditional holistic insight task into three sequential components: solution time prediction (prediction phase), riddle solving (execution phase), and self-evaluation of Aha! …”
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Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet by Asmaa Hashem Sweidan, Nashwa El-Bendary, Shereen A. Taie, Amira M. Idrees, Esraa Elhariri

“…The proposed approach utilizes a Bidirectional Long Short-Term Memory (BiLSTM) network with Multi-Self-Attention (MSA) mechanism for capturing contextual impacts over long spans within the tweets, while having the sequential nature of Arabic text constructively learned by the BiLSTM model. …”
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Thoracoabdominal aneurysmectomy: Operative steps for Crawford extent II repairCentral MessagePerspective by Ana Lopez-Marco, PhD, Benjamin Adams, MD, Aung Ye Oo, MD

“…The distal anastomosis is usually constructed above the aortic bifurcation and occasionally to each iliac separately using a bifurcated graft. …”
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A Review of Mesh Adaptation Technology Applied to Computational Fluid Dynamics by Guglielmo Vivarelli, Ning Qin, Shahrokh Shahpar

“…A substantial portion of the literature relies on second-order derivatives of scalar flow quantities to construct sensors that can be equidistributed to minimise discretisation error. …”
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Multi task opinion enhanced hybrid BERT model for mental health analysis by Md. Mithun Hossain, Md. Shakil Hossain, M. F. Mridha, Mejdl Safran, Sultan Alfarhood

“…With the help of TextBlob and SciPy, we extracted opinions and dynamically constructed new opinion embeddings to complement the pre-trained BERT model. …”
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Dual-functional titanium implants via polydopamine-mediated lithium and copper co-incorporation: synergistic enhancement of osseointegration and antibacterial efficacy by Jun Li, Bo Jiang, Liu Yang, Pu Zhang, Jingwen Wu, Yalan Yang, Yan Yang, Guiling Wang, Jie Chen, Ling Zhang, Shiqin Huang, Lingli Zhang, En Zhang

“…To address this, we engineered a polydopamine (PDA)-mediated dual-functional platform for lithium (Li+) and copper (Cu2+) co-incorporation on titanium alloy (Ti6Al4V) implants, aiming to synergize osteogenic and antibacterial properties through a scalable surface modification strategy.MethodsPDA coatings were polymerized onto polished Ti64 substrates, followed by sequential immersion in LiCl (800 μM) and CuCl2 (10 μM) solutions to construct Li+/Cu2+ co-doped surfaces (PDA@Li 800-Cu 10). …”
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Three-dimensional velocity structure model for hypocenter determination in and around the Japanese Islands by Akio Katsumata, Takahito Nishimiya

“…Abstract We constructed a three-dimensional (3D) velocity structure model to determine hypocenters in and around the Japanese Islands. …”
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The correlation between female students’ positive mental health and their integrity in conducting peer assessment by Jusuf Blegur, Andreas J. F. Lumba, Fegie Rizkia Mulyana, Mutmainnah Mutmainnah, Verlanda Yuca, Deasy Yunika Khairun, Atsani Wulansari

“…In the thematic analysis, the PMH experience that helps female students carry out peer-assessment with integrity is: (1) stimulating motivation through constructive assessment, (2) managing emotions from various subjective pressures, (3) believing in one’s ability to remain objective at all times, and (4) rejecting compromise with various academic deviations. …”
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A Random Degradation Aggregation Network With Temporal-Spatial Attention for Satellite Video Super-Resolution by Lu Li, Mi Wang, Yingdong Pi

“…Specifically, we first construct a high-order video degradation model tailored to satellite videos, better reflecting their real-world degradation processes. …”
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Advanced Trans-EEGNet Deep Learning Model for Hypoxic-Ischemic Encephalopathy Severity Grading by Dong-Her Shih, Feng-I Chung, Ting-Wei Wu, Shuo-Yu Huang, Ming-Hung Shih

“…It then employs EEGNet, a deep learning model specifically designed for EEG classification, combined with a Transformer model featuring an attention mechanism that excels at capturing long-term sequential features to construct the Trans-EEGNet model. …”
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Development of a management model to address the impact of work-related stress on teachers’ mental well-being in South African primary schools by Tebogo E. Selebano, Arnel P. Huisamen, René Pellissier

“…Exploring how positive mental health constructs can boost teachers’ resilience can result in efficacious educational quality and student success. …”
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Biomechanical effects of clear aligners with different distal coverage designs combined with Class II elastic traction for maxillary first molar distalization: a finite element stu... by Yiyan Zhang, Peiyan Wang, Chunmiao Jiang, Yi Liu, Xiangyu Ma, Yang Liu, Cunhui Fan

“…Abstract Background The sequential distalization of teeth may affect the final efficacy of molar distalization in clear aligner treatment (CAT), necessitating additional anchorage protection for distalized posterior teeth. …”
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Revolutionising rapid recovery: a quality improvement project in hip and knee replacement by Rebekah J Parkes, Olusegun Ayeko, Luke Brunton, William Griffiths-Jones, Zsolt Ungvari, Henry Goss

“…Representatives from the group visited a similar sized hospital with successful outcomes from their pathway in order to compare and then construct a new pathway based on observed practices. …”
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EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game by LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li

“…The credit mechanism is introduced to construct the node voting incentive model, and the credit value reward is given according to the voting situation of nodes, which effectively improves the voting enthusiasm of nodes. …”
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Development and validation of mortality risk prediction model for sepsis secondary to pneumonia at intensive care unit admission: a retrospective case-cohort study by Xiaoliang Li, Xiaoli Lei, Lijie Kou, Junli Wang, Zhigang Yang

“…The area under ROC curve of derivation model was better than sequential organ failure assessment score and APACHE II score (0.777 vs. 0.600 vs. 0.625, p < 0.05). …”
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